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The American Journal of Bioethics Volume 22, 2022 - Issue 5
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Open Peer Commentaries

Bridging the AI Chasm: Can EBM Address Representation and Fairness in Clinical Machine Learning?

Nicole Martinez-Martina Stanford Center for Biomedical EthicsCorrespondence[email protected]
ORCID Iconhttps://orcid.org/0000-0001-9345-0462View further author information
ORCID Icon &
Mildred K. Choa Stanford Center for Biomedical Ethics;b Stanford UniversityORCID Iconhttps://orcid.org/0000-0003-1669-3932View further author information
ORCID Icon
Pages 30-32 | Published online: 27 Apr 2022
 
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This article refers to:
A Research Ethics Framework for the Clinical Translation of Healthcare Machine Learning
This article is referred to by:
Promoting Ethical Deployment of Artificial Intelligence and Machine Learning in Healthcare
Response to Open Peer Commentaries: On Social Harms, Big Tech, and Institutional Accountability

DISCLOSURE STATEMENT

No potential conflict of interest was reported by the authors.

Additional information

Funding

MKC was funded by NIH grant 1R01HG010476) and the Greenwall grant, NM was funded by NIMH grant K01MH118375-01A1.

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